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Biotech Data Science Jobs in Berkeley, CA (NOW HIRING)

BIOMARIN PHARMACEUTICAL

Sr. Data Scientist 1

Novato, CA · On-site

This role blends advanced technical skills in Data Science-covering statistics, Modelling, AI/ML-with deep domain expertise in highly regulated Biotech industry. These should be complemented by soft ...

Initial Therapeutics, Inc.

Sr. Data Scientist 1

Novato, CA · On-site

$150 - $190/hr

This role blends advanced technical skills in Data Science--covering statistics, Modelling, AI/ML--with deep domain expertise in highly regulated Biotech industry. These should be complemented by ...

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All JobsBiotech Data Science JobsBiotech Data Science Jobs in Berkeley, CA

Biotech Data Science information

See Berkeley, CA salary details

$45.9K

$150.3K

$240.6K

How much do biotech data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for biotech data science in Berkeley, CA is $150,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a biotech data science?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are the key skills and qualifications needed to thrive in biotech data science, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What are the most common challenges faced by professionals in biotech data science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What are popular job titles related to Biotech Data Science jobs in Berkeley, CA?

For Biotech Data Science jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Biotech Data Science jobs in Berkeley, CA look for?

The top searched job categories for Biotech Data Science jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Biotech Data Science jobs?

Cities near Berkeley, CA with the most Biotech Data Science job openings:

Biotech Data Science jobs near you
Infographic showing various Biotech Data Science job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $150,286 per year, or $72.3 per hour.

AI Product Manager - Data Science

Dawar Consulting

South San Francisco, CA • On-site

$117 - $124/hr

Other

Medical, Retirement

Posted 6 days ago

Job description

South San Francisco, United States | Posted on 08/26/2026

Our client, a world leader in biotechnology and life sciences, is looking for an “ AI Product Manager - Data Science ”.

Job Duration: Long-Term Contract (Possibility Of Extension)

Rate: $85-$90/hr on W2

Company Benefits: Medical, Paid Sick Leave, 401 (k)

We are seeking aPrincipal Data Science/AI Product Managerto lead the strategy, roadmap, and delivery of innovative AI/ML products supporting Commercial, Medical, and Government Affairs. This role will partner with Data Science, Engineering, IT, and business leaders to develop AI-powered solutions that improve customer engagement, personalization, automation, and decision-making.

Key Responsibilities
  • Define AI/ML product vision, strategy, roadmap, and priorities.
  • Lead development of AI/ML and Generative AI product capabilities.
  • Create PRDs, product requirements, user stories, and prioritized backlogs.
  • Partner with Data Science, Engineering, IT, and business stakeholders.
  • Build business cases and demonstrate measurable ROI/business impact.
  • Drive experimentation, UAT, product launches, and post-launch optimization.
  • Manage internal and external technical teams and consultants.
  • Ensure responsible AI, governance, scalability, and compliance.
  • Communicate product strategy and progress to senior/executive stakeholders.
Required Qualifications
  • Bachelor’s degree in Business, Data Science, Engineering, or related field.
  • 8+ yearsof combined Product Management, Data Science, AI/ML, or software development experience.
  • Hands-on knowledge ofAI/ML, Generative AI, NLP, or Deep Learning.
  • Proficiency inPython, R, Scala, or SQL.
  • Strong experience withPRDs, Agile/Scrum/Kanban, product roadmaps, a.
  • nd product lifecycle management.
  • Experience leading enterprise AI/ML strategy and cross-functional initiatives.
  • Strong executive communication and stakeholder management skills.
  • Understanding of cloud and enterprise architectures such asSaaS, PaaS, and IaaS.
Preferred
  • Advanced degree in AI, Data Science, Business, or related field.
  • Healthcare, pharmaceutical, biotech, or other regulated-industry experience.
  • Experience with Responsible AI, AI governance, model monitoring, scalability, and cost optimization.
  • Experience with user research/design thinking and digital transformation.
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